Select Target Zambian Dialect to Manage & Train:

πŸ‡ΏπŸ‡² Unified (All)
πŸ‡ΏπŸ‡² Chibemba
πŸ‡ΏπŸ‡² Chinyanja
πŸ‡ΏπŸ‡² Chitonga
πŸ‡ΏπŸ‡² Silozi
πŸ‡¬πŸ‡§ English
🌐 Mixed/General

Local Dataset Inspector: All

25504 Records
Phrase Text Dialect Category Label Source
RT @amazingatheist: America is like a drunken redneck flailing his fists around, raving incoherently. He's kind of funny, but also you'r ... Mixed Abusive User Added
RT @amaurer13: Just saw someone riding a bike while wearing camo, the bitch is asking to get hit! Mixed Abusive User Added
RT @amara_banks: I want some taco truck tacos! Brenda & her mom be having them bitches smacking. Mixed Abusive User Added
RT @alwayznpolo: years of eating and still no beard, more of mythology. RT @willyroast2 When you eat pussy it helps Yo beard grow this is s… Mixed Abusive User Added
RT @almostkanye: RT @Resolutionary_: if Crabtree woulda caught that over Sherman for the game y'all woulda said Sherman trash & he got what… Mixed Safe User Added
RT @almostkanye: Nights like this I wish, ride low in the Chevy hit the switch. In the city burning killa with a bitch Mixed Abusive User Added
RT @allzmicelz: how she gets all the bitches http://t.co/DWkd2DjOrV Mixed Abusive User Added
RT @allovevie: I know it ain't good, but these hoes gon' do what they wa-wa-waaaaannnnnt. Mixed Abusive User Added
RT @allly_sunn: "That's what that means..some kid called me at like 1 in the morning asking me if I wanted to hit the slopes..." Mixed Safe User Added
RT @allisonnamaya_: @Whitecholo23 omg Nathaniel. No "come here mr pussy" "Mr pussy where are you" lol Mixed Abusive User Added
RT @alisonkent: Also as part of my release day gift (yes, we get those!) this adorable bumblebee bear! #Montlake http://t.co/SC3AjXCiRB Mixed Safe User Added
RT @alison_cherry: .@nlisa & I are discussing our awful 90s fashion choices: yellow overall shorts, boxers over leggings. What was your bes… Mixed Safe User Added

Add Local Phrase

Batch Import CSV

CSV Only

Upload a custom CSV file to bulk import training data across all languages. Required columns: phrase (or text), category (0=Hate, 1=Abusive, 2=Safe), and optionally language.

Model Training Control

20%

Evaluation Results

Trained Algorithm: Decision Tree
ACCURACY
F1 SCORE
Confusion Matrix Grid
46
0
0
2
41
4
0
0
47
Columns: Predicted Rows: Actual
Algorithm Accuracy Graph